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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build out the AWS-based cloud infrastructure using Python, Docker, Terraform, Kafka, Airflow and SQL.
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Preferably with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, Spark SQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow, Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. 3+ years of Expertise in building application using Kafka, Golden Gate etc.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc. Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
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Knowledge of data integration tools and big data technologies (e.g., Hadoop, Spark) Foursquare is looking for a Staff Engineer - Full Stack & Data Engineering to join our team! We are seeking a talented full-stack Engineer with a strong background in Data Engineering to join the Studio team.
$242,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Trade Surveillance heavily utilize Actimize Risk Case Manager, Actimize Intelligent Server that sources data from Hadoop platform, requires highly skilled Actimize developer for to strategize, design, develop and automate surveillances process flow to support the business functions.
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The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop. We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems.
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Experience in messaging (MQ, Tibco, Kafka), C/C. apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.
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Management & support of Cloudera services including, but not limited to: HDFS, Hadoop, MapReduce, Hive/Impala, YARN, Solr, Kafka, Oozie & Spark using Cloudera Manager and command-line. Aligning with systems administrator's groups to deploy new software environments required for Hadoop and to expand/upgrade existing environments.
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Has expertise in many or all of the following: Terraform, Kubernetes, AWS, Grafana, Elasticsearch, Prometheus, Argo CD, Kafka, Golang/Python or another systems language. We are searching for a seasoned and motivated Platform Engineer to join our team in solving some of our complex problems in simple ways.
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Cloudera BDR (Backup Data Replication) for HDFS and Kafka replication (SRM Streams Replication Manager) Integration support of tools that require connectivity to Hadoop ecosystem (BI tools, data ingestion tools, ETL/ELT tools, ODBC/JDBC, etc.
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Experience with cloud native development (Kubernetes, Docker), open source publish-subscribe frameworks like Apache Kafka. BlackRock also places Sustainability at the center of our investment process and being a developer at BlackRock means you get the best of both worlds: working for one of the most progressive financial companies and also being part of a software engineering team responsible for next generation technology and solutions.
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Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, etc.) As a Software Engineer III- Java / AWS / ETL / Big Data at JPMorgan Chase within the Consumer and Community Bank, Connected Commerce, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Hands-on experience with Apache Kafka, Spark Experience in using Databricks for big data analytics and processing. As Lead Cloud Data Engineer at JPMorgan Chase within Employee Experience Employee Core Data Platform(Palmos) Group, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo in New York, NY
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